Rainfall Induced Landslide Susceptibility Mapping Using Novel Hybrid Soft Computing Methods Based on Multi-layer Perceptron Neural Network Classifier

An optimal search for neural network parameters using the Salp swarm optimization algorithm: a landslide application

(2020) Huu-Duy Nguyen et al.   Remote Sensing Letters

Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran

(2020) Alireza Arabameri et al.   Remote Sensing

Spatial Proximity-Based Geographically Weighted Regression Model for Landslide Susceptibility Assessment: A Case Study of Qingchuan Area, China

(2020) Yange Li et al.   Applied Sciences-Basel

A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China

(2020) Yumiao Wang et al.   CATENA

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

Comparing characteristics of rainfall- and earthquake-triggered landslides in the Upper Minjiang catchment, China

(2020) Shibiao Bai et al.   ENGINEERING GEOLOGY

The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China

(2020) Zhuo Chen et al.   NATURAL HAZARDS

Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble

(2020) Haoyuan Hong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas

(2020) Minu Treesa Abraham et al.   SENSORS

Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers

(2020) Binh Thai Pham et al.   Geocarto International

Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential

(2020) Romulus Costache et al.   Remote Sensing

Forecasting of Landslides Using Rainfall Severity and Soil Wetness: A Probabilistic Approach for Darjeeling Himalayas

(2020) Minu Treesa Abraham et al.   Water

Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam

(2020) Quoc Cuong Tran et al.   Applied Sciences-Basel

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping

(2020) Peyman Yariyan et al.   WATER RESOURCES MANAGEMENT

GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran

(2020) Xinxiang Lei et al.   Remote Sensing

Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation

(2020) Xia Zhao et al.   Remote Sensing

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

(2020) Wei Chen et al.   CATENA

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Landslide susceptibility assessment using different slope units based on the evidential belief function model

(2019) Zhuo Chen et al.   Geocarto International

Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

(2019) Wei Chen et al.   Geocarto International

Whale Optimization Algorithm and Adaptive Neuro-Fuzzy Inference System: a hybrid method for feature selection and land pattern classification

(2019) Quang-Thanh Bui et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms

(2019) Qingfeng He et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

(2019) Dieu Tien Bui et al.   Remote Sensing

Quantifying landslide frequency and sediment residence time in the Nepal Himalaya

(2019) D. M. Whipp et al.   Science Advances

Flood Susceptibility Assessment by Using Bivariate Statistics and Machine Learning Models - A Useful Tool for Flood Risk Management

(2019) Romulus Costache   WATER RESOURCES MANAGEMENT

Performance Analysis of Advanced Decision Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping

(2019) Emrehan Kutlug Sahin et al.   Geocarto International

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed

(2019) Dieu Tien Bui et al.   Forests

Groundwater Recharge Prediction Using Linear Regression, Multi-Layer Perception Network, and Deep Learning

(2019) Xin Huang et al.   Water

Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms

(2019) Pham et al.   Sustainability

Hybrid computational intelligence models for groundwater potential mapping

(2019) Binh Thai Pham et al.   CATENA

A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping

(2019) Pham et al.   Sustainability

Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics

(2019) Romulus Costache et al.   CATENA

Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques

(2019) Yang Li et al.   Water

GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam

(2019) Viet-Tien Nguyen et al.   Sustainability

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

(2019) Yanli Wu et al.   CATENA

Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)

(2018) Wei Chen et al.   Bulletin of Engineering Geology and the Environment

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

(2018) Binh Thai Pham et al.   Bulletin of Engineering Geology and the Environment

Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees

(2018) Binh Thai Pham et al.   GEOMORPHOLOGY

Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier

(2018) Binh Thai Pham et al.   Journal of the Indian Society of Remote Sensing

Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment

(2018) Wei Chen et al.   Geocarto International

A Novel Hybrid Approach of Bayesian Logistic Regression and Its Ensembles for Landslide Susceptibility Assessment

(2018) Mousa Abedini et al.   Geocarto International

Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping

(2018) Prima Kadavi et al.   Remote Sensing

Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling

(2018) Wei Chen et al.   Bulletin of Engineering Geology and the Environment

Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods

(2018) Haoyuan Hong et al.   NATURAL HAZARDS

Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

(2018) Wei Chen et al.   Applied Sciences-Basel

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

(2018) Binh Thai Pham et al.   CATENA

A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS

(2017) Binh Thai Pham et al.   Environmental Earth Sciences

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

(2017) Stephen E. Fick et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Landslide susceptibility assessment using evidential belief function, certainty factor and frequency ratio model at Baxie River basin, NW China

(2017) Zhuo Chen et al.   Geocarto International

GIS-based landslide susceptibility modelling: a comparative assessment of kernel logistic regression, Naïve-Bayes tree, and alternating decision tree models

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method

(2016) Majid Shadman Roodposhti et al.   Entropy

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

(2016) Dieu Tien Bui et al.   Environmental Earth Sciences

A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

(2016) Binh Thai Pham et al.   ENVIRONMENTAL MODELLING & SOFTWARE

An empirical margin explanation for the effectiveness of DECORATE ensemble learning algorithm

(2015) Bo Sun et al.   KNOWLEDGE-BASED SYSTEMS

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment

(2015) Himan Shahabi et al.   Scientific Reports

Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia

(2014) Zahrul Umar et al.   CATENA

Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms

(2013) Mohammad Zare et al.   Arabian Journal of Geosciences

Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models

(2013) Himan Shahabi et al.   CATENA

Landslide susceptibility mapping along road corridors in the Indian Himalayas using Bayesian logistic regression models

(2012) Iswar Das et al.   GEOMORPHOLOGY

An empirical bias–variance analysis of DECORATE ensemble method at different training sample sizes

(2011) Chun-Xia Zhang et al.   JOURNAL OF APPLIED STATISTICS

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine

(2009) Işık Yilmaz   Environmental Earth Sciences

GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China

(2009) Shi-Biao Bai et al.   GEOMORPHOLOGY

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

(2008) X. Yao et al.   GEOMORPHOLOGY